Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Series Vol. 4 , 31 May 2023


Open Access | Article

Analysis of digital transformation of furniture market in the context of big data application

Siming Liu 1
1 Material Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, China, 410000

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 4, 105-110
Published 31 May 2023. © 31 May 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Siming Liu. Analysis of digital transformation of furniture market in the context of big data application. ACE (2023) Vol. 4: 105-110. DOI: 10.54254/2755-2721/4/20230363.

Abstract

The whole furniture industry customization boom creates more and more significant demand for digitalization, and the impact of the epidemic on the furniture industry has further made many furniture companies realize the importance of industry digitalization. And in order to achieve the digital transformation of furniture enterprises, the collection and application of big data is the key: through the collection and use of customer and equipment data, you can achieve optimization of the supply chain in the furniture industry to reduce the inventory of raw materials and finished products; to achieve digital design and production intelligence to improve production efficiency and material utilization; to analyze the target customer groups and improve marketing strategies to attract more customers and increase turnover. In recent years, many scholars have also provided ideas on specific approaches to digital transformation in the furniture industry. This paper uses the literature review method and summary induction method to summarize the role that big data can play in the digital transformation of the furniture industry from three aspects: furniture production supply chain, furniture design digitalization and manufacturing digitalization, and furniture marketing.

Keywords

furniture industry, big data, supply chain, smart manufacturing, marketing, digitalization.

References

1. Department of Informatization and Industrial Development, State Information Center, Jingdong Institute of Digital Science and Technology. Crossing over together to reshape growth - China Industry Digitalization Report 2020, 2020.6

2. Zhang Xiaqing. Research on zero inventory management of manufacturing enterprises in the context of big data [J]. Journal of Taiyuan City Vocational and Technical College, 2020,(03):21-23.

3. Tang Yueqi. Research on zero inventory model in the era of big data [J]. Accountant, 2018(4):3-4

4. Xu Jianlan. Analysis of inventory control in furniture manufacturing enterprises under supply chain management [J]. Market Week,2018,(11):51-52.

5. Li Na,Qu Fuhai. Digital supply chain empowered furniture e-commerce logistics "wisdom" upgrade strategy [J]. Business Economics Research, 2021,(11):107-109.

6. Xiong Xianqing, Yue Xinyi. ERP/MES integrated management technology of custom home furnishing enterprises for intelligent manufacturing[J]. Wood Science and Technology:1-7.

7. Qi Yiqing,Xu Ran,Yu Dafei. Digital transformation and intelligent manufacturing in furniture industry[J]. Furniture and Interior Decoration,2021,(08):68-71.

8. Chen Yue,Yu Xiaohong. The application of digital design technology in custom furniture[J]. Furniture and interior decoration,2021,(04):26-29.

9. Zhang Yi, Wang Mengqiong. Research on the design mode of furniture customization service under the background of "Internet+"[J]. Cultural industry research,2017,(03):224-233.

10. Zhang Jie,Wang Junliang,Lv Youlong,Bao Jinsong. Big data-driven intelligent manufacturing[J]. China Mechanical Engineering,2019,30(02):127-133+158.

11. Xiong Xianqing,Ren J. Digital design technology of household products for intelligent manufacturing [J]. Wood Science and Technology,2021,35(01):14-19.

12. Wang Chengqiao, Qiao Fei. Study on ERP and MES integration model approach [J].

13. Tang Tang, Teng Lin, Wu J, et al. Full digitalization is the way to smart manufacturing: Interpreting the Road to Smart Manufacturing: Digital Factory [J]. China Mechanical Engineering, 2018,29(3):366-377.

14. Xiong Xianqing,Ma Qingru,Yuan Yingying,Pan Yuting,Niu Yiting. Digital design and manufacturing of furniture enterprises for intelligent manufacturing[J]. Journal of Forestry Engineering,2020,5(04):174-180.

15. Liang Hao-Feng. Talking about digital marketing in the new retail era[J]. China Market,2020,27(10):121-122.

16. Qiu Yongde,Wu Xiaomei. Research on marketing communication and corporate branding of furniture enterprises in the new media era[J]. Forest Industry,2020,57(10):85-87.

17. Wu Shuangshang,Xu Wei. Exploring the marketing innovation of small and medium-sized furniture enterprises under social networking[J]. Furniture,2020,41(04):101-105. Translated with www.DeepL.com/Translator (free version)

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-915371-55-3
ISBN (Online)
978-1-915371-56-0
Published Date
31 May 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/4/20230363
Copyright
31 May 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated